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Afshin J. Ghajar
Researcher at Oklahoma State University–Stillwater
Publications - 149
Citations - 4190
Afshin J. Ghajar is an academic researcher from Oklahoma State University–Stillwater. The author has contributed to research in topics: Heat transfer & Heat transfer coefficient. The author has an hindex of 31, co-authored 136 publications receiving 3742 citations. Previous affiliations of Afshin J. Ghajar include University of Macau.
Papers
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Book
Heat and Mass Transfer: Fundamentals & Applications
Yunus A. Cengel,Afshin J. Ghajar +1 more
TL;DR: This book discusses Heat Conduction Equation, Thermal Radiation, and Fundamentals of Convection, as well as other topics related to heating and cooling.
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Comparison of void fraction correlations for different flow patterns in horizontal and upward inclined pipes
TL;DR: In this article, a comparison of the performance of 68 void fraction correlations based on unbiased data set (2845 data points) covering wide range of parameters than previous assessments was made.
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A flow pattern independent drift flux model based void fraction correlation for a wide range of gas–liquid two phase flow
TL;DR: In this article, the authors presented new equations for a flow pattern independent drift flux model based void fraction correlation applicable to gas-liquid two-phase flow covering a wide range of fluid combinations and pipe diameters.
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Heat transfer measurements and correlations in the transition region for a circular tube with three different inlet configurations
Afshin J. Ghajar,Lap Mou Tam +1 more
TL;DR: In this article, forced and mixed convective heat transfer measurements were made in a horizontal circular straight tube with reentrant, square-edged, and bell-mouth inlets under uniform wall heat flux condition.
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Influence of inlet geometry on mixing in thermocline thermal energy storage
TL;DR: In this paper, the influence of inlet geometry on the degree of stratification attainable in thermocline thermal energy storage is investigated using a mixing index introduced in a one-dimensional flow model.